Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II-Reference-Cited by-同舟云学术

Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II

Author:

Reed Patrick¹,Minsker Barbara S.²,Goldberg David E.³

Affiliation:

1. Department of Civil and Environmental Engineering; Pennsylvania State University; University Park Pennsylvania USA

2. Department of Civil and Environmental Engineering; University of Illinois at Urbana-Champaign; Urbana Illinois USA

3. Department of General Engineering; University of Illinois at Urbana-Champaign; Urbana Illinois USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

Reference14 articles.

2. Deb , K. Multi-Objective Optimization Using Evolutionary Algorithms John Wiley Hoboken, N. J. 2001

3. DeJong , K. A. An analysis of the behavior of a class of genetic adaptive systems Univ. of Mich. Ann Arbor 1975

4. Goldberg , D. E. Genetic Algorithms in Search, Optimization, and Machine Learning Addison-Wesley-Longman Reading, Mass. 1989

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